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Domain Adaptation

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하위 태스크: 13
평가표: 58
보존된 평가 기록: 391

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

A Brief Review of Domain Adaptation

<span style="color:grey; opacity: 0.6">( Image credit: Unsupervised Image-to-Image Translation Networks )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/roipapo/rohan

공식 코드

RoHan: Robust Hand Detection in Operation Room

https://github.com/rongguangw/flow-scm

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Harmonization with Flow-based Causal Inference

https://github.com/rongguangw/weightedERM

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Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience

https://github.com/ronyabecidan/holisticsteganalysiswithsetcovering

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Using Set Covering to Generate Databases for Holistic Steganalysis

https://github.com/rookiehb/dismae

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Disentangling Masked Autoencoders for Unsupervised Domain Generalization

https://github.com/rosanom/habitat-domain-adaptation

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On Embodied Visual Navigation in Real Environments Through Habitat

https://github.com/rostami-m/ldacid

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Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay

https://github.com/rotmanguy/amoc

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Model Compression for Domain Adaptation through Causal Effect Estimation

https://github.com/royee182/dpl

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Dual Path Learning for Domain Adaptation of Semantic Segmentation

https://github.com/roypic/aligner

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On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging

https://github.com/roysubhankar/dwt-domain-adaptation

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Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss

https://github.com/roysubhankar/uncertainty-sfda

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Uncertainty-guided Source-free Domain Adaptation

https://github.com/roythuly/ompo

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OMPO: A Unified Framework for RL under Policy and Dynamics Shifts

https://github.com/royzry98/moase-pytorch

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Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation

https://github.com/rro2q2/adaf-streamflow-forecaster

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Attention-based Domain Adaptation Forecasting of Streamflow in Data-Sparse Regions

https://github.com/rs-dl/MADAN

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Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network

https://github.com/rshaojimmy/AAAI2020-RFMetaFAS

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Regularized Fine-grained Meta Face Anti-spoofing

https://github.com/rt219/the-emergence-of-objectness

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The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos

https://github.com/rtavenar/MatchAndDeform

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Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment

https://github.com/rtmaww/x-piece

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Searching for Optimal Subword Tokenization in Cross-domain NER

https://github.com/ruc-aimc-lab/cdcl

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Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images

https://github.com/ruckbreasoning/codes

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CodeS: Towards Building Open-source Language Models for Text-to-SQL

https://github.com/rucv/MMCD_DA

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Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

https://github.com/rudrakshkapil/shadowsense

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ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone Imagery

https://github.com/ruijiang81/cst

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Enhancing Counterfactual Classification via Self-Training

https://github.com/ruixxxx/sfuda

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Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data

https://github.com/ruizgao/knnmt-meta-optimizer

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Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer

https://github.com/rusu4943/3d-sfuda

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Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical Images

https://github.com/rvandeghen/mda

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Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillance

https://github.com/rvegaml/da_linear

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Domain-shift adaptation via linear transformations

https://github.com/rwightman/pytorch-image-models

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VOLO: Vision Outlooker for Visual Recognition

https://github.com/rxsw/mode

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Moderately Distributional Exploration for Domain Generalization

https://github.com/ryan315/single2multi-da

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SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images

https://github.com/ryanwangzf/biobridge

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BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs

https://github.com/ryersonmultimedialab/emotionrecognitionuda

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Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain Adaptation

https://github.com/ryoungj/optdom

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Optimal Representations for Covariate Shift

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